Covariances, Robustness, and Variational Bayes.
Ryan GiordanoTamara BroderickMichael I. JordanPublished in: J. Mach. Learn. Res. (2018)
Keyphrases
- variational bayes
- bayesian inference
- latent variables
- gaussian mixture model
- hyperparameters
- bayesian learning
- free energy
- posterior distribution
- exponential family
- latent dirichlet allocation
- support vector
- log likelihood
- model selection
- prior information
- information extraction
- probabilistic model
- bayesian framework
- image reconstruction
- cross validation
- mixture model
- expectation maximization
- probability distribution
- neural network